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Search Method

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-10.)

Search Method has 18 facts recorded in Dontopedia across 8 references, with 2 live disagreements.

18 facts·15 predicates·8 sources·2 in dispute

Mostly:rdf:type(3), records(2), is called on(1)

Maturity scale raw canonical shape-checked rule-derived certified

Rdf:typein disputerdf:type

  • Method[3]all time · F2ac6f00 9427 4edc B81b 45b9c891e787
  • Method[7]all time · 487e5748 2bcd 4e37 90db 0cffa8f51b40
  • Method[4]all time · 7eea273f 790f 4e03 B59e C75af85f7d1f

Recordsin disputerecords

  • End Time[2]sourceall time · Ceb5c7ec Af98 4776 9c0d Fc903e06dcd4
  • Start Time[2]sourceall time · Ceb5c7ec Af98 4776 9c0d Fc903e06dcd4

Is Called onis_called_on

  • Es[4]sourceall time · 7eea273f 790f 4e03 B59e C75af85f7d1f

Is Used forisUsedFor

Returnsreturns

Findsfinds

Aliasalias

  • search[1]all time · 27831356 38d9 4289 97d2 9a64e0fff953

Called Per IterationcalledPerIteration

  • true[3]all time · F2ac6f00 9427 4edc B81b 45b9c891e787

Called WithcalledWith

Measures DurationmeasuresDuration

  • true[6]all time · 20342d06 A832 4fa0 8eda 34243774ac2e

Stores tostoresTo

Belongs tobelongs_to

  • Ss[2]all time · Ceb5c7ec Af98 4776 9c0d Fc903e06dcd4

Inbound mentions (5)

Other subjects in dontopedia point AT this entity as a value. These are inverse relationships — e.g. "X motherOf this subject" — and answer questions the forward facts can't. Grouped by predicate.

callsCalls(1)

describesDescribes(1)

ex:variableScopeEx:variable Scope(1)

receiver_ofReceiver of(1)

stepStep(1)

Other facts (3)

The long tail: predicates that appear too rarely to warrant their own section. Filter or scroll to find a specific one. Each row links to its source.

3 facts
PredicateValueRef
Is Method ofSearch System[5]
Uses Brute Force ApproachcomparesWithEachVector[8]
Returns Number of Results10[8]

Timeline

Timeline axis is valid_time — when each source says the fact was true in the world, not when Dontopedia learned about it. Retracted rows are kept for provenance; coloured stripes indicate the context kind.

aliasbeam/27831356-38d9-4289-97d2-9a64e0fff953
search
belongs_tobeam/ceb5c7ec-af98-4776-9c0d-fc903e06dcd4
ex:ss
calledPerIterationbeam/f2ac6f00-9427-4edc-b81b-45b9c891e787
true
calledWithbeam/f2ac6f00-9427-4edc-b81b-45b9c891e787
ex:search_argument
findsbeam/27831356-38d9-4289-97d2-9a64e0fff953
ex:nearest_neighbors
is_called_onbeam/7eea273f-790f-4e03-b59e-c75af85f7d1f
ex:es
isMethodOfbeam/3e13d5d8-d502-4e99-89ef-cf237c11d470
ex:SearchSystem
isUsedForbeam/27831356-38d9-4289-97d2-9a64e0fff953
ex:nearest_neighbor_search
measuresDurationbeam/20342d06-a832-4fa0-8eda-34243774ac2e
true
typebeam/f2ac6f00-9427-4edc-b81b-45b9c891e787
ex:Method
typebeam/487e5748-2bcd-4e37-90db-0cffa8f51b40
ex:Method
typebeam/7eea273f-790f-4e03-b59e-c75af85f7d1f
ex:Method
recordsbeam/ceb5c7ec-af98-4776-9c0d-fc903e06dcd4
ex:end_time
recordsbeam/ceb5c7ec-af98-4776-9c0d-fc903e06dcd4
ex:start_time
returnsbeam/27831356-38d9-4289-97d2-9a64e0fff953
ex:nearest_neighbor_results
returnsNumberOfResultsbeam/1f683966-b96e-483a-9ff6-00f44bcce021
10
storesTobeam/20342d06-a832-4fa0-8eda-34243774ac2e
ex:profile_data
usesBruteForceApproachbeam/1f683966-b96e-483a-9ff6-00f44bcce021
comparesWithEachVector

References (8)

8 references
  1. [1]beam-chunk4 facts
    customctx:claims/beam/27831356-38d9-4289-97d2-9a64e0fff953
    • full textbeam-chunk
      text/plain1 KBdoc:beam/27831356-38d9-4289-97d2-9a64e0fff953
      Show excerpt
      - `nlist`: Number of clusters. A higher value can improve accuracy but also increases memory usage. - `M`: Number of sub-quantizers. A higher value can improve accuracy but also increases memory usage. - `nbits`: Number of bits per
  2. [2]beam-chunk3 facts
    customctx:claims/beam/ceb5c7ec-af98-4776-9c0d-fc903e06dcd4
    • full textbeam-chunk
      text/plain1 KBdoc:beam/ceb5c7ec-af98-4776-9c0d-fc903e06dcd4
      Show excerpt
      ss.analyze_performance() ``` ### Explanation 1. **Detailed Timing**: - The `search` method records the start and end times for each query and stores the duration in `self.queries`. 2. **Profiling**: - The `search` method also profi
  3. customctx:claims/beam/f2ac6f00-9427-4edc-b81b-45b9c891e787
  4. [4]beam-chunk2 facts
    customctx:claims/beam/7eea273f-790f-4e03-b59e-c75af85f7d1f
    • full textbeam-chunk
      text/plain1 KBdoc:beam/7eea273f-790f-4e03-b59e-c75af85f7d1f
      Show excerpt
      Benchmarking involves measuring the performance of your system under various conditions to identify bottlenecks and areas for improvement. #### Steps: 1. **Generate Test Data**: - Create a large set of test data that includes terms and
  5. [5]beam-chunk1 fact
    customctx:claims/beam/3e13d5d8-d502-4e99-89ef-cf237c11d470
    • full textbeam-chunk
      text/plain1 KBdoc:beam/3e13d5d8-d502-4e99-89ef-cf237c11d470
      Show excerpt
      self.queries.append((query, end_time - start_time)) def get_search_speeds(self): return [query[1] for query in self.queries] # create search system ss = SearchSystem() # simulate searches for i in range(15000): ss
  6. customctx:claims/beam/20342d06-a832-4fa0-8eda-34243774ac2e
  7. customctx:claims/beam/487e5748-2bcd-4e37-90db-0cffa8f51b40
  8. [8]beam-chunk2 facts
    customctx:claims/beam/1f683966-b96e-483a-9ff6-00f44bcce021
    • full textbeam-chunk
      text/plain1 KBdoc:beam/1f683966-b96e-483a-9ff6-00f44bcce021
      Show excerpt
      # Generate ground truth for evaluation ground_truth_indices = np.random.choice(len(db.vectors), size=10, replace=False) # Evaluate the accuracy accuracy = calculate_accuracy(db, query_vector, ground_truth_indices) print(f"Search accuracy:

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